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Tier-1 brand, mid-level (3+ years) role, and metro Mumbai location increase applicant competition.
Role requires niche index equity and portfolio engineering domain expertise, limiting cross-industry transferability.
Explicit 3+ years requirement plus mandatory Python, SDLC and quantitative skills enforce strict screening.
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Develop and maintain portfolio engineering algorithms primarily using Python to support index portfolio construction, optimization, trading, and risk management.
Implement, deploy, and monitor an innovative platform for portfolio engineering algorithms; ensure scalability and alignment with evolving business needs.
Collaborate closely with Portfolio Managers and BlackRock technology teams to integrate algorithms into BlackRock’s technology platform and improve operational efficiency.
3+ years of relevant experience in Python programming, algorithm engineering, or quantitative development.
Bachelor’s or Master’s degree (or equivalent experience) in computer science, engineering, or a quantitative field with strong computing skills.
Proficiency in Python (preferred) or Java, with strong object-oriented programming skills and experience using SDLC including agile methodologies, version control, and CI/CD tools.
Work Experience Required: 3+ years in related fields as specified.
Experienced in quantitative development roles bridging portfolio management and technology in investment contexts, ideally with some exposure to index equity or investment management.
Comfortable working with large data sets and applying statistical/mathematical techniques to real-world investment problems.
Operationally focused individual able to deliver robust, extensible code that supports scalable business processes and integrates with enterprise technology platforms.